Esaim-control Optimisation And Calculus Of Variations

杂志介绍

Esaim-control Optimisation And Calculus Of Variations杂志介绍

《Esaim-control Optimisation And Calculus Of Variations》是一本以English为主的未开放获取国际优秀期刊，中文名称Esaim-control优化和变分法，本刊主要出版、报道数学-AUTOMATION & CONTROL SYSTEMS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.3，最新CiteScore 指数为3。

本刊近期中国学者发表的论文主要有：

• Risk-sensitive mean field games with major and minor players*

  Author: Chen, Yan; Li, Tao; Xin, Zhixian

• Controllability and Observability for some Forward Stochastic Complex Degenerate/Singular Ginzburg-Landau Equations*

  Author: Yu, Yongyi; Zhao, Qingmei

• Phase field topology optimisation for 4D printing*

  Author: Garcke, Harald; Lam, Kei Fong; Nurnberg, Robert; Signori, Andrea

• The Lebeau

  Author: gaopengjilindaxue

英文介绍

Esaim-control Optimisation And Calculus Of Variations杂志英文介绍

ESAIM: COCV strives to publish rapidly and efficiently papers and surveys in the areas of Control, Optimisation and Calculus of Variations.

Articles may be theoretical, computational, or both, and they will cover contemporary subjects with impact in forefront technology, biosciences, materials science, computer vision, continuum physics, decision sciences and other allied disciplines.

Targeted topics include:

in control: modeling, controllability, optimal control, stabilization, control design, hybrid control, robustness analysis, numerical and computational methods for control, stochastic or deterministic, continuous or discrete control systems, finite-dimensional or infinite-dimensional control systems, geometric control, quantum control, game theory;

in optimisation: mathematical programming, large scale systems, stochastic optimisation, combinatorial optimisation, shape optimisation, convex or nonsmooth optimisation, inverse problems, interior point methods, duality methods, numerical methods, convergence and complexity, global optimisation, optimisation and dynamical systems, optimal transport, machine learning, image or signal analysis;

in calculus of variations: variational methods for differential equations and Hamiltonian systems, variational inequalities; semicontinuity and convergence, existence and regularity of minimizers and critical points of functionals, relaxation; geometric problems and the use and development of geometric measure theory tools; problems involving randomness; viscosity solutions; numerical methods; homogenization, multiscale and singular perturbation problems.